課程信息
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第 4 門課程(共 4 門)

100% 在線

立即開始,按照自己的計劃學習。

可靈活調整截止日期

根據您的日程表重置截止日期。

高級

完成時間大約為10 小時

建議:5 hours/week...

英語(English)

字幕:英語(English), 法語(French), 阿拉伯語(Arabic), 中文(簡體)

第 4 門課程(共 4 門)

100% 在線

立即開始,按照自己的計劃學習。

可靈活調整截止日期

根據您的日程表重置截止日期。

高級

完成時間大約為10 小時

建議:5 hours/week...

英語(English)

字幕:英語(English), 法語(French), 阿拉伯語(Arabic), 中文(簡體)

教學大綱 - 您將從這門課程中學到什麼

1
完成時間為 3 小時

Week 1 - Identify DataSet and UseCase

1 個視頻 (總計 2 分鐘), 7 個閱讀材料, 2 個測驗
1 個視頻
7 個閱讀材料
A warm welcome10分鐘
Overview of Architectural Methodologies for DataScience10分鐘
Lightweight IBM Cloud Garage Method for Data Science10分鐘
Data Sources and Use Cases10分鐘
Initial Data Exploration10分鐘
Architectural Decisions Document (ADD)10分鐘
Process Model Guidelines10分鐘
1 個練習
Milestones Checklist Week 1
2
完成時間為 3 小時

Week 2 - ETL and Feature Creation

3 個閱讀材料, 2 個測驗
3 個閱讀材料
Extract Transform Load (ETL)10分鐘
Data Cleansing10分鐘
Feature Engineering10分鐘
1 個練習
Milestones Checklist Week 2
3
完成時間為 2 小時

Week 3 - Model Definition and Training

2 個閱讀材料, 2 個測驗
2 個閱讀材料
Model Definition10分鐘
Model Training10分鐘
1 個練習
Milestones Checklist Week 3
4
完成時間為 5 小時

Model Evaluation, Tuning, Deployment and Documentation

5 個閱讀材料, 3 個測驗
5 個閱讀材料
Model Evaluation10分鐘
Model Deployment10分鐘
Data Product (optional)10分鐘
Create ADD - Architectural Decisions Document10分鐘
Create a Video of your final presentation10分鐘
1 個練習
Milestones Checklist Week 4
4.6
17 個審閱Chevron Right

50%

完成這些課程後已開始新的職業生涯

50%

通過此課程獲得實實在在的工作福利

來自Advanced Data Science Capstone的熱門評論

創建者 KWJul 12th 2019

Innovative teacher and course. Learned how to make a youtube video beside the data science challenge. On the whole specialization, very comprehensive and set me up to want to delve further next.

創建者 SSJan 14th 2019

I liked the peer-graded environment.\n\nLike the final submission requirements. That's really helps in aquiring the skills like presentation skills, Documentation skills, project mangement

講師

Avatar

Romeo Kienzler

Chief Data Scientist, Course Lead
IBM Watson IoT

關於 IBM

IBM offers a wide range of technology and consulting services; a broad portfolio of middleware for collaboration, predictive analytics, software development and systems management; and the world's most advanced servers and supercomputers. Utilizing its business consulting, technology and R&D expertise, IBM helps clients become "smarter" as the planet becomes more digitally interconnected. IBM invests more than $6 billion a year in R&D, just completing its 21st year of patent leadership. IBM Research has received recognition beyond any commercial technology research organization and is home to 5 Nobel Laureates, 9 US National Medals of Technology, 5 US National Medals of Science, 6 Turing Awards, and 10 Inductees in US Inventors Hall of Fame....

About the Advanced Data Science with IBM 專項課程

As a coursera certified specialization completer you will have a proven deep understanding on massive parallel data processing, data exploration and visualization, and advanced machine learning & deep learning. You'll understand the mathematical foundations behind all machine learning & deep learning algorithms. You can apply knowledge in practical use cases, justify architectural decisions, understand the characteristics of different algorithms, frameworks & technologies & how they impact model performance & scalability. If you choose to take this specialization and earn the Coursera specialization certificate, you will also earn an IBM digital badge. To find out more about IBM digital badges follow the link ibm.biz/badging....
Advanced Data Science with IBM

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